DL-HAR: Deep Learning-Based Human Activity Recognition Framework for Edge Computing

اسناد مشابه

• A multi-task learning based hybrid prediction algorithm for privacy preserving human activity recognition framework

  مقاله‌ی دسترسی آزاد۲۰۲۱Bulletin of Electrical Engineering and Informatics['Vijaya Kumar Kambala', 'Harikiran Jonnadula', '']

  There is ever increasing need to use computer vision devices capture videos as part of many real-world applications. However, invading privacy people the cause concern. for protecting while are used purposefully based on objective functions. One such case human activity recogniti

• Feature Learning for Activity Recognition in Ubiquitous Computing

  سند علمی۲۰۱۱IJCAIThomas Plötz, Nils Y. Hammerla, Patrick Olivier

  Feature extraction for activity recognition in context-aware ubiquitous computing applications is usually a heuristic process, informed by underlying domain knowledge. Relying on such explicit knowledge is problematic when aiming to generalize across different application domains

• A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices

  مقاله‌ی دسترسی آزاد۲۰۲۰Procedia Computer SciencePreetiAgarwal, MansafAlam

• Multiview Summarization and Activity Recognition Meet Edge Computing in IoT Environments

  مقاله‌ی دسترسی آزاد۲۰۲۱IEEE Internet of Things Journal['Tanveer Hussain', 'Sung Wook Baik', 'Amin Ullah', 'Nikola Kasabov', 'Amir H. Gandomi', 'Muhammad Sajjad', 'Deepak Gupta', '']

  Multiview video summarization (MVS) has not received much attention from the research community due to inter-view correlations and views' overlapping, etc. The majority of previous MVS works are offline, relying on only summary, require additional communication bandwidth transmis

• Enhancing CSI-Based Human Activity Recognition by Edge Detection Techniques

  مقاله‌ی دسترسی آزاد۲۰۲۳Information['Hossein Shahverdi', 'Mohammad Nabati', 'Parisa Fard Moshiri', 'Reza Asvadi', 'Seyed Ali Ghorashi', '']

  Human Activity Recognition (HAR) has been a popular area of research in the Internet Things (IoT) and Human–Computer Interaction (HCI) over past decade. The objective this field is to detect human activities through numeric or visual representations, its applications include smar

• Privacy preserving human activity recognition framework using an optimized prediction algorithm

  مقاله‌ی دسترسی آزاد۲۰۲۲IAES International Journal of Artificial Intelligence['Kambala Vijaya Kumar', 'J. Harikiran', '']

  Human activity recognition, in computer vision research, is the area of growing interest as it has plethora real-world applications. Inferring actions from one or more persons captured through a live video its immense utility contemporary era. Same time, protecting privacy humans